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发布于 2026-04-13 / 0 阅读
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MiniMax Releases MMX-CLI: A Command-Line Interface That Gives AI Agents Native Access to Image, Video, Speech, Music, Vision, and Search

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MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative capabilities, both to human developers working in a terminal and to AI agents running in tools like Cursor, Claude Code, and OpenCode.

What Problem Is MMX-CLI Solving?

Most large language model (LLM)-based agents today are strong at reading and writing text. They can reason over documents, generate code, and respond to multi-turn instructions. But they have no direct path to generate media — no built-in way to synthesize speech, compose music, render a video, or understand an image without a separate integration layer such as the Model Context Protocol (MCP).

Building those integrations typically requires writing custom API wrappers, configuring server-side tooling, and managing authentication separately from whatever agent framework you are using. MMX-CLI is positioned as an alternative approach: expose all of those capabilities as shell commands that an agent can invoke directly, the same way a developer would from a terminal — with zero MCP glue required.

The Seven Modalities

MMX-CLI wraps MiniMax’s full-modal stack into seven generative command groups — mmx text , mmx image , mmx video , mmx speech , mmx music , mmx vision , and mmx search — plus supporting utilities ( mmx auth , mmx config , mmx quota , mmx update ).

  • The mmx text command supports multi-turn chat, streaming output, system prompts, and JSON output mode. It accepts a --model flag to target specific MiniMax model variants such as MiniMax-M2.7-highspeed , with MiniMax-M2.7 as the default.
  • The mmx image command generates images from text prompts with controls for aspect ratio ( --aspect-ratio ) and batch count ( --n ). It also supports a --subject-ref parameter for subject reference, which enables character or object consistency across multiple generated images — useful for workflows that require visual continuity.
  • The mmx video command uses MiniMax-Hailuo-2.3 as its default model, with MiniMax-Hailuo-2.3-Fast available as an alternative. By default, mmx video generate submits a job and polls synchronously until the video is ready. Passing --async or --no-wait changes this behavior: the command returns a task ID immediately, letting the caller check progress separately via mmx video task get --task-id . The command also supports a --first-frame <path-or-url> flag for image-conditioned video generation, where a specific image is used as the opening frame of the output video.
  • The mmx speech command exposes text-to-speech (TTS) synthesis with more than 30 available voices, speed control, volume and pitch adjustment, subtitle timing data output via --subtitles , and streaming playback support via pipe to a media player. The default model is speech-2.8-hd , with speech-2.6 and speech-02 as alternatives. Input is capped at 10,000 characters.
  • The mmx music command, backed by the music-2.5 model, generates music from a text prompt with fine-grained compositional controls including --vocals (e.g. "warm male baritone" ), --genre , --mood , --instruments , --tempo , --bpm , --key , and --structure . The --instrumental flag generates music without vocals. An --aigc-watermark flag is also available for embedding an AI-generated content watermark in the output audio.
  • mmx vision handles image understanding via a vision-language model (VLM). It accepts a local file path or remote URL — automatically base64-encoding local files — or a pre-uploaded MiniMax file ID. A --prompt flag lets you ask a specific question about the image; the default prompt is "Describe the image."
  • mmx search runs a web search query through MiniMax’s own search infrastructure and returns results in text or JSON format.

Technical Architecture

MMX-CLI is written almost entirely in TypeScript (99.8% TS) with strict mode enabled, and uses Bun as the native runtime for development and testing while distributing to npm for compatibility with Node.js 18+ environments. Configuration schema validation uses Zod, and resolution follows a defined precedence order — CLI flags → environment variables → ~/.mmx/config.json → defaults — making deployment straightforward in containerized or CI environments. Dual-region support is built into the API client layer, routing Global users to and CN users to , switchable via mmx config set --key region --value cn .

Key Takeaways

  • MMX-CLI is MiniMax’s official open command-line interface that gives AI agents native access to seven generative modalities — text, image, video, speech, music, vision, and search — without requiring any MCP integration.
  • AI agents running in tools like Cursor, Claude Code, and OpenCode can be set up with two commands and a single natural language instruction, after which the agent learns the full command interface on its own from the bundled SKILL.md documentation.
  • The CLI is designed for programmatic and agent use, with dedicated flags for non-interactive execution, a clean stdout/stderr separation for safe piping, structured exit codes for error handling, and a schema export feature that lets agent frameworks register mmx commands as JSON tool definitions.
  • For AI devs already building agent-based systems, it lowers the integration barrier significantly by consolidating image, video, speech, music, vision, and search generation into a single, well-documented CLI that agents can learn and operate on their own.

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Shobha Kakkar
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Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

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